Exploring the quantitive relationship between economic benefit and environmental constraint using an inexact chance-constrained fuzzy programming based industrial structure optimization model

Yingxue Rao (), Min Zhou (), Chunxia Cao (), Shukui Tan (), Yan Song (), Zuo Zhang (), Deyi Dai (), Guoliang Ou (), Lu Zhang (), Xin Nie (), Aiping Deng () and Zhuoma Cairen ()
Additional contact information
Yingxue Rao: South-Central University for Nationalities
Min Zhou: Huazhong University of Science and Technology
Chunxia Cao: Hubei Biopesticide Engineering Research Center
Shukui Tan: Huazhong University of Science and Technology
Yan Song: The University of North Carolina at Chapel Hill
Zuo Zhang: Central China Normal University
Deyi Dai: Center of Hubei Cooperative Innovation for Emissions Trading System (CHCIETS)
Guoliang Ou: Shenzhen Polytechnic
Lu Zhang: Huazhong University of Science and Technology
Xin Nie: Guangxi University
Aiping Deng: Huazhong University of Science and Technology
Zhuoma Cairen: Huazhong University of Science and Technology

Quality & Quantity: International Journal of Methodology, 2019, vol. 53, issue 4, No 24, 2199-2220

Abstract: Abstract Industrial structure optimization model can effectively support sustainable economic development. This study firstly summarized four types existing industrial structure optimization models. Based on reviews of these models, this study proposed an inexact chance-constrained fuzzy programming model for industrial structure optimization. This model has three features: (1) the model considers many social economic and ecological environment factors which can provide various of sustainable development strategies; (2) the model considers three uncertainties which are discrete intervals, fuzzy sets and probabilities; therefore, the model can reflect uncertain features of the industrial structure system without excessive hypothesis; (3) the model can effectively reflect the quantitive relationship between economic benefit increasing and ecological environmental cost retardant in the industrial system. The proposed model is applied to industrial structure optimization of Hefeng County, Hubei Province, China. The results provided a series of desired industrial structure patterns and environmental emission scenarios under uncertainty which could help government and industry decision makers in the study area to formulate appropriate industrial policies which could balance the social economic development and ecological environment protection. The modelling results can support quantity and deeply analysis of industrial structure patterns and trade-off between economical development and ecological environment protection.

Keywords: Industrial structure optimization; Inexact chance-constrained fuzzy programming; Economic benefit; Ecological environmental protection; Hefeng County (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11135-019-00865-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:53:y:2019:i:4:d:10.1007_s11135-019-00865-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-019-00865-x

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().